AI Ed Researcher Potential Abstract: This research article delves into the innovative anchors that underlie open educational practices (OEP) in educational settings. By examining the naive nuances present in the implementation of OEP, this study aims to shed light on the complexities and potential pitfalls that educators may encounter when adopting open practices in their teaching. Drawing on … Read more
Potential Abstract: This research article explores the intersection of experiential learning, discourses in education, and data science through a Heideggerian lens. By applying a Heideggerian phenomenological approach to the analysis of data in educational settings, this study seeks to uncover the deeper meanings embedded within the experiential discourses present in educational practices. Drawing on Heidegger’s … Read more
Potential Abstract: This research article explores the intersection of democratic androgogies, open educational practices, and the challenges faced in postindustrial education settings. With the advent of the digital age and the rapid changes in the workforce, traditional educational models are struggling to keep pace with the demands of a rapidly evolving society. In this context, … Read more
Potential Abstract: In recent years, blockchain technology has gained significant attention for its potential to revolutionize various industries, including education. This paper adopts a deconstructionist lens to investigate the social and political implications of implementing blockchain within educational settings. Drawing on critical theory and poststructuralist perspectives, we analyze how blockchain, as a decentralized and immutable … Read more
Potential Abstract: Abstract: This study explores the intersection of innovative practices, equity considerations, and market dynamics in the context of education. Drawing on a perception-centered approach, we investigate how various stakeholders within the education system perceive and respond to market forces that influence educational equities. By examining the perceptions of educators, policymakers, and students, we … Read more
Potential Abstract: This study explores the uncontestable factors of race in education through the lens of artificial intelligence, specifically utilizing ChatGPT as a tool for reframing the discourse. By leveraging the capabilities of ChatGPT, an advanced language model, we aim to uncover new perspectives and insights on how race influences educational outcomes and experiences. Through … Read more
Potential Abstract: This study examines the impact of techno-social factors on learning science through the lens of artificial intelligence. Utilizing a mixed-methods approach, data is collected from a diverse sample of students in K-12 settings to explore how factors such as access to technology, social interactions, and personal motivation influence the effectiveness of learning science … Read more
Potential Abstract: This research article examines how multicultural discourses are enacted and negotiated within open educational practices in postcolonial contexts. Drawing on postcolonial theory, the study explores the implications of these discourses on educational equity, inclusivity, and power dynamics. Through a qualitative case study approach, data was collected from educators, students, and educational stakeholders in … Read more
Potential Abstract: In the realm of education, understanding and unpacking sociopolitical ways of knowing is crucial for fostering critical thinking and promoting social justice. This research study utilizes concept maps and GitHub as innovative tools to delve deep into the complexities of sociopolitical knowledge construction. Through a hermeneutic lens, this study aims to explore how … Read more
Potential Abstract: In recent years, large language models (LLMs) have gained significant attention in the field of education for their potential to enhance various educational practices. However, the extent to which these models can accurately capture the dynamic voices within educational settings remains largely unexplored. This study introduces a novel approach to analyzing LLMs through … Read more
